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Proportionate Mortality for Cancer for Manufacturing

Manufacturing Sector

Suggested Citation : NIOSH (2010). National Occupational Mortality
Surveillance (NOMS). U.S. Department of Health and Human Services, Public
Health Service, Centers for Disease Control and Prevention, National
Institute for Occupational Safety and Health, Division of Surveillance,
Hazard Evaluation and Field Studies, Surveillance Branch. Date accessed._________.

Source: For these charts, death certificates for
decedents that died in one of the
27 U.S. states between 1984 and 1998 were the source of age (ages 18-90),
race (black, white), gender, usual occupation and industry and multiple
cause-of-death. PMRs were calculated with all races and genders combined
to evaluate the mortality patterns for 22 site-specific cancers
and 17 cardiovascular, neurodegenerative, diabetes, and renal diseases for
the larger industries in each of eight sectors: agriculture, forestry,
fishing; mining; construction; manufacturing, wholesale & retail trade;
transportation, warehousing & utilities; healthcare & social assistance; and
services. If a PMR is greater than 100 in the chart, it is elevated; if
less, it is said to be decreased. User may consult crosswalks for ICD9
and 1980 Census industry category codes
(Chronic Disease and Industry Categories).

PMRs are computed when the data for the population at risk are not available
and death rates cannot be computed. Thus the PMRs presented indicate
whether the proportion of deaths due to a specific cause appears to be high
or low for a particular industry compared to all industries.
The 95% confidence intervals (95% CI) were
computed based on the Poisson distribution if the observed number of deaths
was 1000 or less; otherwise, test-based CIs were computed based on the
Mantel and Haenszel chi square test.

More information
about methods and limitations, source description and listings
of states, causes of death and industry codes and the authors' contact
information may be found at the main page.